如何在openCV中跟踪绿色？当红色和蓝色工作时

import cv2
import numpy as np

def track_green(image):
    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    
    lower_green = np.array([40, 50, 50])
    upper_green = np.array([80, 255, 255])
    
    mask = cv2.inRange(hsv, lower_green, upper_green)
    return mask

def process_mask(mask):
    kernel = np.ones((5, 5), np.uint8)
    
    # 去除噪点
    mask = cv2.erode(mask, kernel, iterations=1)
    mask = cv2.dilate(mask, kernel, iterations=1)
    
    # 填充空洞
    mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
    
    return mask

def track_object(image, mask):
    contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    
    for contour in contours:
        area = cv2.contourArea(contour)
        if area > 100:  # 设置最小面积阈值，过滤掉小的轮廓
            x, y, w, h = cv2.boundingRect(contour)
            cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
    
    return image

def main():
    cap = cv2.VideoCapture(0)  # 打开摄像头
    while True:
        ret, frame = cap.read()
        
        if not ret:
            break
        
        mask = track_green(frame)
        mask_processed = process_mask(mask)
        result = track_object(frame, mask_processed)
        
        cv2.imshow('Result', result)
        
        if cv2.waitKey(1) == ord('q'):
            break
    
    cap.release()
    cv2.destroyAllWindows()

if __name__ == '__main__':
    main()